Adverity vs. Airbyte
Which is best for your business?
Who should use Adverity?
Teams that want a simple no-code option to easily transform and enrich their data.
Teams that also want the flexibility to code their own custom transformations in-platform.
Teams that need to ingest data from specialized marketing data sources.
Teams that also want the ability to explore their data in-platform.
Teams that need to seamlessly share their data with Business Intelligence platforms like Tableau, PowerBI, and Looker Studio.
Teams that need to ensure their data is of high quality before it is shared with their chosen destination.
Who should use Airbyte?
Teams that want a simple way to extract data from basic data sources and put them into a tables.
Teams that don’t want data visualization or integrated analytics tools within their solution.
Teams that are happy with minimal support.
Teams that have a high level of SQL expertise or who otherwise don’t need to transform their data.
Teams that have the tools to ensure their data is of high quality outside of their etl/elt solution.
Teams that don’t need to seamlessly share their data with BI platforms.
Features compared
No. of Connectors |
600+ |
550+ |
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Data Exploration |
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Smart Naming Conventions |
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Out-of-the-box Transformation Capabilities |
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Data Quality Suite |
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Data Pipeline Performance Manager |
Don’t just take our word for it!
See how G2 users compare Fivetran and Adverity below. Or check it out for yourself on G2’s website!
Has the product been a good partner in doing business? |
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Quality of Support |
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Reporting |
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Auditing |
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Transformation |
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Product Direction (% positive) |
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No-code/low-code?
In Airbyte, all data transformations are done using DBT code/SQL within DBT which means there are a wide range of transformations that can be performed by coding expertise is required to execute them.
Meanwhile, Adverity provides a range of prebuilt yet powerful data transformations that cover a range of use cases including Smart Naming Conventions, Currency Conversion, and Joining Datastreams/Datasets. Skilled coders can build their own custom transformations while less technical users have the option of using our AI-powered Enrichment CoPilot to achieve the same. With Instant Schema Mapping, blending your data as it’s ingested is easy with automapping, in-built suggestions, and robust governance controls.
Data Exploration
You cannot explore ingested data within Airbyte either in table form or through visualizations.
Adverity offers data exploration options meaning you can instantly check and review your data even before you send it to its final destination.
Destinations
It’s always important to have the flexibility to send your data where you need it. Airbyte offers 50+ native destinations you can send your ingested data to but the vast majority of these are in Alpha or Beta and are either data warehouses, datalakes or databases. To send data to Tableau, data must be sent to a PostGres SQL database first.
With Adverity's wider selection of destinations, you have increased versatility in sharing your data wherever you need it.
Need to migrate from an existing tool?
Relax. With Adverity, migration is hassle-free, backed by expert support and implementation teams dedicated to ensuring a seamless experience for your business.
(Spoilers: We've done this before!)
What brands you know say about Adverity
Adverity is loved by
Ready for the proof?
No pre-recorded, boring sales presentations. Just a straight-forward, honest chat about your marketing analytics needs and a personalized tour of our platform and how it might help you.
